About Me
AI/ML-focused engineering student with hands-on experience building end-to-end ML systems, computer vision applications, deep learning pipelines, and deployable AI interfaces. Strong foundation in Python, model training, data analytics, and applied problem solving.
Skills & Technologies
Work Experience
AI/ML Engineer
Developing AI-powered applications using Python and FastAPI. Building a real-time CCTV Face Recognition Attendance System using InsightFace and ArcFace, implementing facial embedding, recognition, and attendance automation. Developing REST APIs and backend services with FastAPI and PostgreSQL.
Research Intern · Cognitive Computing
Worked on the N-Back Task project focused on cognitive workload analysis. Collected and analyzed EEG data for cognitive experiments, performed workload assessment, and contributed to data processing and analytical reporting.
Projects
AI-Powered CCTV Face Recognition Attendance System
Developed an enterprise-grade AI-based automated attendance management system that uses CCTV/Webcam camera streams for real-time face recognition and attendance tracking. Built the backend using FastAPI and PostgreSQL, with REST APIs and WebSocket support for real-time communication.
Neural Style Transfer System
Developed a Deep Learning application that transforms images by combining content and style inputs into one AI-generated artistic output using Neural Style Transfer with VGG19 for feature extraction.
CreditWise · Loan Approval Prediction System
Developed an end-to-end Machine Learning system to predict binary loan approval outcomes using applicant financial and demographic data, covering data cleaning, preprocessing, model training, and evaluation.
Education
B.Tech (Honours)
Computer Science